Schneider Electric Case Studies Lippulaiva: A Case Study on Intelligent Energy Management

	Lippulaiva: A Case Study on Intelligent Energy Management Schneider Electric

Lippulaiva: A Case Study on Intelligent Energy Management

Schneider Electric

Applicable Industries	Buildings Cement
Use Cases	Building Automation & Control Intelligent Packaging
Services	System Integration
Challenge	The case study revolves around the challenge of managing energy resources efficiently in a large property, Lippulaiva. The property, owned by Citycon, a top Nordic owner of city centers, had a large geothermal energy plant for heating and cooling. However, the challenge was to reduce CO2 emissions and make the city center the most environmentally responsible and friendly in Europe. The need was to control and optimize energy flows, combining building technology and business information, and continuously monitor all building technology systems. Read More
About Customer	The customer in this case study is Lippulaiva, a property owned by Citycon, a leading Nordic owner of city centers. Lippulaiva is a large property with a geothermal energy plant for heating and cooling. The property aimed to become the most environmentally responsible city center in Europe. To achieve this, they partnered with Schneider Electric to implement an intelligent and energy-efficient real estate solution. The goal was to manage energy resources efficiently, reduce CO2 emissions, and contribute to environmental sustainability. Read More
Solution	The solution to the challenge was the implementation of a virtual power plant solution. This solution utilized solar energy, energy storage, and demand flexibility to manage the energy resources of the property. The intelligent energy system was designed to control and optimize energy flows, ensuring efficient use of energy. The digital user interface was integrated with the building technology and business information, providing a comprehensive view of the energy usage and efficiency. The platform service, powered by AI, was set up to continuously monitor all building technology systems. This allowed for real-time adjustments and optimization, leading to significant energy savings and reduction in CO2 emissions. Read More Log in to view content
Contents

Applicable Industries

Buildings

Cement

Use Cases

Building Automation & Control

Intelligent Packaging

Services

System Integration

Challenge

The case study revolves around the challenge of managing energy resources efficiently in a large property, Lippulaiva. The property, owned by Citycon, a top Nordic owner of city centers, had a large geothermal energy plant for heating and cooling. However, the challenge was to reduce CO2 emissions and make the city center the most environmentally responsible and friendly in Europe. The need was to control and optimize energy flows, combining building technology and business information, and continuously monitor all building technology systems.

About Customer

The customer in this case study is Lippulaiva, a property owned by Citycon, a leading Nordic owner of city centers. Lippulaiva is a large property with a geothermal energy plant for heating and cooling. The property aimed to become the most environmentally responsible city center in Europe. To achieve this, they partnered with Schneider Electric to implement an intelligent and energy-efficient real estate solution. The goal was to manage energy resources efficiently, reduce CO2 emissions, and contribute to environmental sustainability.

Solution

The solution to the challenge was the implementation of a virtual power plant solution. This solution utilized solar energy, energy storage, and demand flexibility to manage the energy resources of the property. The intelligent energy system was designed to control and optimize energy flows, ensuring efficient use of energy. The digital user interface was integrated with the building technology and business information, providing a comprehensive view of the energy usage and efficiency. The platform service, powered by AI, was set up to continuously monitor all building technology systems. This allowed for real-time adjustments and optimization, leading to significant energy savings and reduction in CO2 emissions.

Impact #1	The implementation of the virtual power plant solution led to significant operational benefits. The intelligent energy system allowed for efficient control and optimization of energy flows. This resulted in substantial energy savings and a reduction in CO2 emissions, making Lippulaiva the most environmentally responsible city center in Europe. The digital user interface provided a comprehensive view of the energy usage and efficiency, enabling real-time adjustments and optimization. The AI-powered platform service ensured continuous monitoring of all building technology systems, leading to improved operational efficiency and sustainability.

Impact #1

The implementation of the virtual power plant solution led to significant operational benefits. The intelligent energy system allowed for efficient control and optimization of energy flows. This resulted in substantial energy savings and a reduction in CO2 emissions, making Lippulaiva the most environmentally responsible city center in Europe. The digital user interface provided a comprehensive view of the energy usage and efficiency, enabling real-time adjustments and optimization. The AI-powered platform service ensured continuous monitoring of all building technology systems, leading to improved operational efficiency and sustainability.

Benefit #1	Reduction in CO2 emissions by 335 tCO2/year
Benefit #2	Direct energy savings due to the implementation of the virtual power plant solution
Benefit #3	Utilization of solar energy and energy storage for efficient energy management

Benefit #1

Reduction in CO2 emissions by 335 tCO2/year

Benefit #2

Direct energy savings due to the implementation of the virtual power plant solution

Benefit #3

Utilization of solar energy and energy storage for efficient energy management

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Overview

Lippulaiva: A Case Study on Intelligent Energy Management

Operational Impact

Quantitative Benefit